This documentation is for Apache Flink version 1.6. These pages were built at: 09/26/18, 01:01:45 AM UTC.
Apache Flink is an open source platform for distributed stream and batch data processing. Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Flink builds batch processing on top of the streaming engine, overlaying native iteration support, managed memory, and program optimization.
Concepts: Start with the basic concepts of Flink’s Dataflow Programming Model and Distributed Runtime Environment. This will help you understand other parts of the documentation, including the setup and programming guides. We recommend you read these sections first.
Before putting your Flink job into production, read the Production Readiness Checklist.
Release notes cover important changes between Flink versions. Please carefully read these notes if you plan to upgrade your Flink setup to a later version.
Training: The training materials from data Artisans include slides, exercises, and sample solutions.